Overview
On Site
$60 - $70
Contract - W2
Contract - Independent
Contract - 12 Month(s)
Skills
AI
ML
Bedrock
Job Details
Position Title: AI/ML Lead with AWS Bedrock
Job Location: Sunnyvale, CA(Onsite)
Joining Mode: Long Term Contract
Job Description:
We are seeking an experienced AI/ML Lead with hands-on expertise in AWS Bedrock to design, develop, and deploy generative AI solutions.
The ideal candidate will lead AI initiatives, integrate Bedrock services, and collaborate with cross-functional teams to drive innovation using
large language models (LLMs) and machine learning frameworks.
Key Responsibilities:
- Lead end-to-end AI/ML solution development using AWS Bedrock and SageMaker.
- Develop and fine-tune LLMs and generative AI models for business use cases.
- Design scalable ML pipelines, ensuring performance, cost optimization, and security.
- Collaborate with data engineering and DevOps teams for MLOps implementation.
- Evaluate and integrate foundation models (e.g., Anthropic Claude, Amazon Titan, Cohere, Stability AI).
- Implement prompt engineering and model evaluation frameworks.
- Lead POCs (Proof of Concepts) for new AI-driven solutions and guide AI adoption strategy.
- Ensure governance, compliance, and responsible AI practices.
- Mentor junior data scientists and ML engineers.
Required Skills:
- Strong expertise with AWS AI/ML services Bedrock, SageMaker, Lambda, Glue, Step Functions, S3, IAM.
- Deep understanding of LLMs, NLP, and Generative AI concepts.
- Experience in Python, PyTorch, or Tensorflow.
- Knowledge of prompt engineering and embedding techniques.
- Familiarity with MLOps tools (MLflow, Kabbelow, Sagemaker Pipelines).
- Strong grasp of data preprocessing, model training, and deployment on AWS.
- Excellent leadership and communication skills.
Preferred Qualifications:
- AWS Certified Machine Learning Specialty (or equivalent certification).
- Experience with LangChain, Vector Databases (FAISS, Pinecone, OpenSearch), or RAG architectures.
- Prior experience leading AI transformation projects in production environments.
- Hands-on with Bedrock API integrations for chatbots, summarization, and content generation.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.